Rolando Hong Enríquez

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
We study the plethysmographic signal using principal component analysis (PCA). By decomposing the signal using this method, we are able to regenerate it again, preserving in the process the functional relationships between the components. We have also found the relative contributions of each specific component to the signal. First return maps have been made(More)
  • 1